Summary: Handle the design and construction of scalable management systems, ensuring that all data systems meet company requirements while researching new uses for data acquisition. The role requires a deep understanding of industry practices, including data mining and algorithms. The position emphasizes the integration of new technologies into existing data structures and collaboration with team members to achieve project goals.
Key Responsibilities:
- Design, construct, install, test and maintain data management systems.
- Build high-performance algorithms, predictive models, and prototypes.
- Ensure that all systems meet the business/company requirements as well as industry practices.
- Integrate up-and-coming data management and software engineering technologies into existing data structures.
- Develop set processes for data mining, data modeling, and data production.
- Create custom software components and analytics applications.
- Research new uses for existing data.
- Employ an array of technological languages and tools to connect systems together.
- Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project’s goals.
- Install/update disaster recovery procedures.
- Recommend different ways to constantly improve data reliability and quality.
Key Skills:
- 4+ years of Snowflake experience.
- Business Intelligence - Data Engineering.
- Data Build Tool (DBT) for Development & Maintenance of Data Models.
- DataStage experience.
- Technical Degree or related work experience.
- Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
- Experience programming and/or architecting a back end language (Java, J2EE, etc.).
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
JOB DESCRIPTION:
Experience: 5 - 20 years
Must Have:
- 4+ years of Snowflake
- Business Intelligence - Data Engineering
- Data Build Tool (DBT) for Development & Maintenance of Data Models
- DataStage
Nice To Have:
- Encompass
- Home Equity Line of Credit (HELOC)
- Mortgage Lending
- SAFe Agile
Summary:
Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Primary Responsibilities:
Design, construct, install, test and maintain data management systems.
Build high-performance algorithms, predictive models, and prototypes.
Ensure that all systems meet the business/company requirements as well as industry practices.
Integrate up-and-coming data management and software engineering technologies into existing data structures.
Develop set processes for data mining, data modeling, and data production.
Create custom software components and analytics applications.
Research new uses for existing data.
Employ an array of technological languages and tools to connect systems together.
Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
Install/update disaster recovery procedures.
Recommend different ways to constantly improve data reliability and quality.
Qualifications:
Technical Degree or related work experience
Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Experience programming and/or architecting a back end language (Java, J2EE, etc)